import gradio as gr
import random
import time
import shared
import modules.path
import fooocus_version
import modules.html
import modules.async_worker as worker
import modules.flags as flags
import modules.gradio_hijack as grh
import modules.advanced_parameters as advanced_parameters
import args_manager
from modules.sdxl_styles import legal_style_names, aspect_ratios, default_aspect_ratio
from modules.private_logger import get_current_html_path
def generate_clicked(*args):
execution_start_time = time.perf_counter()
yield gr.update(visible=True, value=modules.html.make_progress_html(1, 'Initializing ...')), \
gr.update(visible=True, value=None), \
gr.update(visible=False)
worker.buffer.append(list(args))
finished = False
while not finished:
time.sleep(0.01)
if len(worker.outputs) > 0:
flag, product = worker.outputs.pop(0)
if flag == 'preview':
percentage, title, image = product
yield gr.update(visible=True, value=modules.html.make_progress_html(percentage, title)), \
gr.update(visible=True, value=image) if image is not None else gr.update(), \
gr.update(visible=False)
if flag == 'results':
yield gr.update(visible=False), \
gr.update(visible=False), \
gr.update(visible=True, value=product)
finished = True
execution_time = time.perf_counter() - execution_start_time
print(f'Total time: {execution_time:.2f} seconds')
return
shared.gradio_root = gr.Blocks(title='Fooocus ' + fooocus_version.version, css=modules.html.css).queue()
with shared.gradio_root:
with gr.Row():
with gr.Column():
progress_window = grh.Image(label='Preview', show_label=True, height=640, visible=False)
progress_html = gr.HTML(value=modules.html.make_progress_html(32, 'Progress 32%'), visible=False, elem_id='progress-bar', elem_classes='progress-bar')
gallery = gr.Gallery(label='Gallery', show_label=False, object_fit='contain', height=720, visible=True, elem_classes='resizable_area')
with gr.Row(elem_classes='type_row'):
with gr.Column(scale=0.85):
prompt = gr.Textbox(show_label=False, placeholder="Type prompt here.", container=False, autofocus=True, elem_classes='type_row', lines=1024)
with gr.Column(scale=0.15, min_width=0):
run_button = gr.Button(label="Generate", value="Generate", elem_classes='type_row', visible=True)
skip_button = gr.Button(label="Skip", value="Skip", elem_classes='type_row_half', visible=False)
stop_button = gr.Button(label="Stop", value="Stop", elem_classes='type_row_half', visible=False)
def stop_clicked():
import comfy.model_management as model_management
shared.last_stop = 'stop'
model_management.interrupt_current_processing()
return [gr.update(interactive=False)] * 2
def skip_clicked():
import comfy.model_management as model_management
shared.last_stop = 'skip'
model_management.interrupt_current_processing()
return
stop_button.click(stop_clicked, outputs=[skip_button, stop_button], queue=False)
skip_button.click(skip_clicked, queue=False)
with gr.Row(elem_classes='advanced_check_row'):
input_image_checkbox = gr.Checkbox(label='Input Image', value=False, container=False, elem_classes='min_check')
advanced_checkbox = gr.Checkbox(label='Advanced', value=False, container=False, elem_classes='min_check')
with gr.Row(visible=False) as image_input_panel:
with gr.Tabs():
with gr.TabItem(label='Upscale or Variation') as uov_tab:
with gr.Row():
with gr.Column():
uov_input_image = grh.Image(label='Drag above image to here', source='upload', type='numpy')
with gr.Column():
uov_method = gr.Radio(label='Upscale or Variation:', choices=flags.uov_list, value=flags.disabled)
gr.HTML('\U0001F4D4 Document')
with gr.TabItem(label='Image Prompt') as ip_tab:
with gr.Row():
ip_images = []
ip_types = []
ip_stops = []
ip_weights = []
ip_ctrls = []
ip_ad_cols = []
for _ in range(4):
with gr.Column():
ip_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False, height=300)
ip_images.append(ip_image)
ip_ctrls.append(ip_image)
with gr.Column(visible=False) as ad_col:
with gr.Row():
default_end, default_weight = flags.default_parameters[flags.default_ip]
ip_stop = gr.Slider(label='Stop At', minimum=0.0, maximum=1.0, step=0.001, value=default_end)
ip_stops.append(ip_stop)
ip_ctrls.append(ip_stop)
ip_weight = gr.Slider(label='Weight', minimum=0.0, maximum=2.0, step=0.001, value=default_weight)
ip_weights.append(ip_weight)
ip_ctrls.append(ip_weight)
ip_type = gr.Radio(label='Type', choices=flags.ip_list, value=flags.default_ip, container=False)
ip_types.append(ip_type)
ip_ctrls.append(ip_type)
ip_type.change(lambda x: flags.default_parameters[x], inputs=[ip_type], outputs=[ip_stop, ip_weight], queue=False, show_progress=False)
ip_ad_cols.append(ad_col)
ip_advanced = gr.Checkbox(label='Advanced', value=False, container=False)
gr.HTML('* \"Image Prompt\" is powered by Fooocus Image Mixture Engine (v1.0.1). \U0001F4D4 Document')
def ip_advance_checked(x):
return [gr.update(visible=x)] * len(ip_ad_cols) + \
[flags.default_ip] * len(ip_types) + \
[flags.default_parameters[flags.default_ip][0]] * len(ip_stops) + \
[flags.default_parameters[flags.default_ip][1]] * len(ip_weights)
ip_advanced.change(ip_advance_checked, inputs=ip_advanced,
outputs=ip_ad_cols + ip_types + ip_stops + ip_weights, queue=False)
with gr.TabItem(label='Inpaint or Outpaint (beta)') as inpaint_tab:
inpaint_input_image = grh.Image(label='Drag above image to here', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF")
gr.HTML('Outpaint Expansion (\U0001F4D4 Document):')
outpaint_selections = gr.CheckboxGroup(choices=['Left', 'Right', 'Top', 'Bottom'], value=[], label='Outpaint', show_label=False, container=False)
gr.HTML('* \"Inpaint or Outpaint\" is powered by the sampler \"DPMPP Fooocus Seamless 2M SDE Karras Inpaint Sampler\" (beta)')
switch_js = "(x) => {if(x){setTimeout(() => window.scrollTo({ top: 850, behavior: 'smooth' }), 50);}else{setTimeout(() => window.scrollTo({ top: 0, behavior: 'smooth' }), 50);} return x}"
down_js = "() => {setTimeout(() => window.scrollTo({ top: 850, behavior: 'smooth' }), 50);}"
input_image_checkbox.change(lambda x: gr.update(visible=x), inputs=input_image_checkbox, outputs=image_input_panel, queue=False, _js=switch_js)
ip_advanced.change(lambda: None, queue=False, _js=down_js)
current_tab = gr.Textbox(value='uov', visible=False)
default_image = None
def update_default_image(x):
global default_image
if isinstance(x, dict):
default_image = x['image']
else:
default_image = x
return
def clear_default_image():
global default_image
default_image = None
return
uov_input_image.upload(update_default_image, inputs=uov_input_image, queue=False)
inpaint_input_image.upload(update_default_image, inputs=inpaint_input_image, queue=False)
uov_input_image.clear(clear_default_image, queue=False)
inpaint_input_image.clear(clear_default_image, queue=False)
uov_tab.select(lambda: ['uov', default_image], outputs=[current_tab, uov_input_image], queue=False, _js=down_js)
inpaint_tab.select(lambda: ['inpaint', default_image], outputs=[current_tab, inpaint_input_image], queue=False, _js=down_js)
ip_tab.select(lambda: 'ip', outputs=[current_tab], queue=False, _js=down_js)
with gr.Column(scale=0.5, visible=False) as right_col:
with gr.Tab(label='Setting'):
performance_selection = gr.Radio(label='Performance', choices=['Speed', 'Quality'], value='Speed')
aspect_ratios_selection = gr.Radio(label='Aspect Ratios', choices=list(aspect_ratios.keys()),
value=default_aspect_ratio, info='width × height')
image_number = gr.Slider(label='Image Number', minimum=1, maximum=32, step=1, value=2)
negative_prompt = gr.Textbox(label='Negative Prompt', show_label=True, placeholder="Type prompt here.",
info='Describing objects that you do not want to see.')
seed_random = gr.Checkbox(label='Random', value=True)
image_seed = gr.Number(label='Seed', value=0, precision=0, visible=False)
def random_checked(r):
return gr.update(visible=not r)
def refresh_seed(r, s):
if r:
return random.randint(1, 1024*1024*1024)
else:
return s
seed_random.change(random_checked, inputs=[seed_random], outputs=[image_seed], queue=False)
gr.HTML(f'\U0001F4DA History Log')
with gr.Tab(label='Style'):
style_selections = gr.CheckboxGroup(show_label=False, container=False,
choices=legal_style_names,
value=modules.path.default_styles,
label='Image Style')
with gr.Tab(label='Model'):
with gr.Row():
base_model = gr.Dropdown(label='SDXL Base Model', choices=modules.path.model_filenames, value=modules.path.default_base_model_name, show_label=True)
refiner_model = gr.Dropdown(label='SDXL Refiner', choices=['None'] + modules.path.model_filenames, value=modules.path.default_refiner_model_name, show_label=True)
with gr.Accordion(label='LoRAs', open=True):
lora_ctrls = []
for i in range(5):
with gr.Row():
lora_model = gr.Dropdown(label=f'SDXL LoRA {i+1}', choices=['None'] + modules.path.lora_filenames, value=modules.path.default_lora_name if i == 0 else 'None')
lora_weight = gr.Slider(label='Weight', minimum=-2, maximum=2, step=0.01, value=modules.path.default_lora_weight)
lora_ctrls += [lora_model, lora_weight]
with gr.Row():
model_refresh = gr.Button(label='Refresh', value='\U0001f504 Refresh All Files', variant='secondary', elem_classes='refresh_button')
with gr.Tab(label='Advanced'):
sharpness = gr.Slider(label='Sampling Sharpness', minimum=0.0, maximum=30.0, step=0.001, value=2.0,
info='Higher value means image and texture are sharper.')
guidance_scale = gr.Slider(label='Guidance Scale', minimum=1.0, maximum=30.0, step=0.01, value=modules.path.default_cfg_scale,
info='Higher value means style is cleaner, vivider, and more artistic.')
gr.HTML('\U0001F4D4 Document')
dev_mode = gr.Checkbox(label='Developer Debug Mode', value=False, container=False)
with gr.Column(visible=False) as dev_tools:
with gr.Tab(label='Developer Debug Tools'):
adm_scaler_positive = gr.Slider(label='Positive ADM Guidance Scaler', minimum=0.1, maximum=3.0,
step=0.001, value=1.5, info='The scaler multiplied to positive ADM (use 1.0 to disable). ')
adm_scaler_negative = gr.Slider(label='Negative ADM Guidance Scaler', minimum=0.1, maximum=3.0,
step=0.001, value=0.8, info='The scaler multiplied to negative ADM (use 1.0 to disable). ')
adm_scaler_end = gr.Slider(label='ADM Guidance End At Step', minimum=0.0, maximum=1.0,
step=0.001, value=0.3,
info='When to end the guidance from positive/negative ADM. ')
adaptive_cfg = gr.Slider(label='CFG Mimicking from TSNR', minimum=1.0, maximum=30.0, step=0.01, value=7.0,
info='Enabling Fooocus\'s implementation of CFG mimicking for TSNR '
'(effective when real CFG > mimicked CFG).')
sampler_name = gr.Dropdown(label='Sampler', choices=flags.sampler_list,
value=modules.path.default_sampler,
info='Only effective in non-inpaint mode.')
scheduler_name = gr.Dropdown(label='Scheduler', choices=flags.scheduler_list,
value=modules.path.default_scheduler,
info='Scheduler of Sampler.')
overwrite_step = gr.Slider(label='Forced Overwrite of Sampling Step',
minimum=-1, maximum=200, step=1, value=-1,
info='Set as -1 to disable. For developer debugging.')
overwrite_switch = gr.Slider(label='Forced Overwrite of Refiner Switch Step',
minimum=-1, maximum=200, step=1, value=-1,
info='Set as -1 to disable. For developer debugging.')
overwrite_width = gr.Slider(label='Forced Overwrite of Generating Width',
minimum=-1, maximum=2048, step=1, value=-1,
info='Set as -1 to disable. For developer debugging.')
overwrite_height = gr.Slider(label='Forced Overwrite of Generating Height',
minimum=-1, maximum=2048, step=1, value=-1,
info='Set as -1 to disable. For developer debugging.')
overwrite_vary_strength = gr.Slider(label='Forced Overwrite of Denoising Strength of "Vary"',
minimum=-1, maximum=1.0, step=0.001, value=-1,
info='Set as negative number to disable. For developer debugging.')
overwrite_upscale_strength = gr.Slider(label='Forced Overwrite of Denoising Strength of "Upscale"',
minimum=-1, maximum=1.0, step=0.001, value=-1,
info='Set as negative number to disable. For developer debugging.')
inpaint_engine = gr.Dropdown(label='Inpaint Engine', value='v1', choices=['v1', 'v2.5'],
info='Version of Fooocus inpaint model')
with gr.Tab(label='Control Debug'):
debugging_cn_preprocessor = gr.Checkbox(label='Debug Preprocessor of ControlNets', value=False)
mixing_image_prompt_and_vary_upscale = gr.Checkbox(label='Mixing Image Prompt and Vary/Upscale',
value=False)
mixing_image_prompt_and_inpaint = gr.Checkbox(label='Mixing Image Prompt and Inpaint',
value=False)
controlnet_softness = gr.Slider(label='Softness of ControlNet', minimum=0.0, maximum=1.0,
step=0.001, value=0.25,
info='Similar to the Control Mode in A1111 (use 0.0 to disable). ')
with gr.Tab(label='Canny'):
canny_low_threshold = gr.Slider(label='Canny Low Threshold', minimum=1, maximum=255,
step=1, value=64)
canny_high_threshold = gr.Slider(label='Canny High Threshold', minimum=1, maximum=255,
step=1, value=128)
with gr.Tab(label='FreeU'):
freeu_enabled = gr.Checkbox(label='Enabled', value=False)
freeu_b1 = gr.Slider(label='B1', minimum=0, maximum=2, step=0.01, value=1.01)
freeu_b2 = gr.Slider(label='B2', minimum=0, maximum=2, step=0.01, value=1.02)
freeu_s1 = gr.Slider(label='S1', minimum=0, maximum=4, step=0.01, value=0.99)
freeu_s2 = gr.Slider(label='S2', minimum=0, maximum=4, step=0.01, value=0.95)
freeu_ctrls = [freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2]
adps = [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, sampler_name,
scheduler_name, overwrite_step, overwrite_switch, overwrite_width, overwrite_height,
overwrite_vary_strength, overwrite_upscale_strength,
mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint,
debugging_cn_preprocessor, controlnet_softness, canny_low_threshold, canny_high_threshold,
inpaint_engine]
adps += freeu_ctrls
def dev_mode_checked(r):
return gr.update(visible=r)
dev_mode.change(dev_mode_checked, inputs=[dev_mode], outputs=[dev_tools], queue=False)
def model_refresh_clicked():
modules.path.update_all_model_names()
results = []
results += [gr.update(choices=modules.path.model_filenames), gr.update(choices=['None'] + modules.path.model_filenames)]
for i in range(5):
results += [gr.update(choices=['None'] + modules.path.lora_filenames), gr.update()]
return results
model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls, queue=False)
advanced_checkbox.change(lambda x: gr.update(visible=x), advanced_checkbox, right_col, queue=False)
ctrls = [
prompt, negative_prompt, style_selections,
performance_selection, aspect_ratios_selection, image_number, image_seed, sharpness, guidance_scale
]
ctrls += [base_model, refiner_model] + lora_ctrls
ctrls += [input_image_checkbox, current_tab]
ctrls += [uov_method, uov_input_image]
ctrls += [outpaint_selections, inpaint_input_image]
ctrls += ip_ctrls
run_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=True, interactive=True), gr.update(visible=False), []), outputs=[stop_button, skip_button, run_button, gallery])\
.then(fn=refresh_seed, inputs=[seed_random, image_seed], outputs=image_seed)\
.then(advanced_parameters.set_all_advanced_parameters, inputs=adps)\
.then(fn=generate_clicked, inputs=ctrls, outputs=[progress_html, progress_window, gallery])\
.then(lambda: (gr.update(visible=True), gr.update(visible=False), gr.update(visible=False)), outputs=[run_button, stop_button, skip_button])
shared.gradio_root.launch(
inbrowser=args_manager.args.auto_launch,
server_name=args_manager.args.listen,
server_port=args_manager.args.port,
share=args_manager.args.share
)